| Energy-Inspired Models: Learning with Sampler-Induced Distributions | Oct 31, 2019 | Variational Inference | CodeCode Available | 0 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 |
| Differentially private partitioned variational inference | Sep 23, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings | Jun 12, 2019 | Knowledge Graph EmbeddingsKnowledge Graphs | CodeCode Available | 0 |
| Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records | Feb 11, 2023 | Density EstimationPrivacy Preserving | CodeCode Available | 0 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 |
| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 |
| Neural Variational Inference for Text Processing | Nov 19, 2015 | Answer SelectionQuestion Answering | CodeCode Available | 0 |
| Automatic Feature Extraction for Heartbeat Anomaly Detection | Feb 24, 2021 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 |
